Alzaid, A. and Dogramadzi, S. orcid.org/0000-0002-0009-7522 (2019) Reassembly of fractured object using fragment topology. In: 10th International Conference on Pattern Recognition Systems. 10th International Conference on Pattern Recognition Systems, 08-10 Jul 2019, Tours, France. IET Conference Proceedings (CP761). IET Digital Library , pp. 98-105. ISBN 9781839531088
Abstract
This work presents our results on reassembly of broken objects using a newly developed fragment topology and feature extraction methodology. The reassembly of broken objects is a common problem in different domains including computeraided bone fracture reduction and reassembly of broken artefacts . The new fragment topology combines information from intact and fractured region boundaries to reduce possible correspondences between the fragments and optimise our iterative matching process. Experiments performed on different multifragment objects show that the proposed topology can be effectively applied, completing the process in a small number of iterations and with average alignment error 0.12mm.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Institution of Engineering and Technology. This is an author-produced version of a paper subsequently published in 10th International Conference on Pattern Recognition Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | fracture; iterative methods; image matching; feature extraction; bone; image registration |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jan 2022 08:30 |
Last Modified: | 07 Jan 2022 18:04 |
Status: | Published |
Publisher: | IET Digital Library |
Series Name: | IET Conference Proceedings |
Refereed: | Yes |
Identification Number: | 10.1049/cp.2019.0256 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181957 |